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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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New York City (Hybrid On-Site): $199,100 - $227,200 for Sr. Manager, Cyber Risk & Analysis. As a Senior Manager Risk Guide Leader supporting EPX, you will partner with colleagues across product, design, tech and other risk teams to deliver results that have a direct impact on internal and external customer experience and implement risk solutions to ensure Capital One’s continued stability and success.
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Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
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11 West 19th Street (22008), United States of America, New York, New YorkSenior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible)Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
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New York City (Hybrid On-Site): $199,100 - $227,200 for Sr. Mgr, Product Management. Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Product Management.
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As a Sr. Manager - Product on the AI Foundations Product team, you will be part of the team designing and delivering best in class ML and AI products for Capital One lines of business, data scientists, ML engineers and product teams.
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Washington (Hybrid On-Site): $100,600 - $114,800 for Dealer Success Manager (SM224) Recruiting: Sales - WA - Seattle, United States of America, Seattle, WashingtonDealer Success Manager - Seattle, WAAs a Dealer Success Manager, you will create and modify processes while collaborating with forward thinking leadership to influence results that have a direct impact on the company’s bottom line.
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Collect and analyze data to make data driven decisions on product strategy and design. West Creek 1 (12071), United States of America, Richmond, VirginiaSenior Product Manager, AI Foundations Research.
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